activity
20142025
most citedPersian Sentiment Analyzer: A Framework based on a Novel Feature Selection Method

13 citations · 18 across the 6 of their papers we have counts for

collaborators

7 papers

cs.CY2025

Predicting First Year Dropout from Pre Enrolment Motivation Statements Using Text Mining

K. F. B. Soppe, A. Bagheri, S. Nadi +3

Preventing student dropout is a major challenge in higher education and it is difficult to predict prior to enrolment which students are likely to drop out and which students are l…

cs.CL2022★ 3 cited

On Text-based Personality Computing: Challenges and Future Directions

Qixiang Fang, Anastasia Giachanou, Ayoub Bagheri +4

Text-based personality computing (TPC) has gained many research interests in NLP. In this paper, we describe 15 challenges that we consider deserving the attention of the research…

cs.CL2022★ 1 cited

Improving Stance Detection by Leveraging Measurement Knowledge from Social Sciences: A Case Study of Dutch Political Tweets and Traditional Gender Role Division

Qixiang Fang, Anastasia Giachanou, Ayoub Bagheri

Stance detection concerns automatically determining the viewpoint (i.e., in favour of, against, or neutral) of a text's author towards a target. Stance detection has been applied t…

stat.ML2021

Neural Networks for Latent Budget Analysis of Compositional Data

Zhenwei Yang, Ayoub Bagheri, P. G. M van der Heijden

Compositional data are non-negative data collected in a rectangular matrix with a constant row sum. Due to the non-negativity the focus is on conditional proportions that add up to…

cs.LG2020

Multimodal Learning for Cardiovascular Risk Prediction using EHR Data

Ayoub Bagheri, T. Katrien J. Groenhof, Wouter B. Veldhuis +3

Electronic health records (EHRs) contain structured and unstructured data of significant clinical and research value. Various machine learning approaches have been developed to emp…

stat.ML2020★ 1 cited

Fair inference on error-prone outcomes

Laura Boeschoten, Erik-Jan van Kesteren, Ayoub Bagheri +1

Fair inference in supervised learning is an important and active area of research, yielding a range of useful methods to assess and account for fairness criteria when predicting gr…

cs.CL2014★ 13 cited

Persian Sentiment Analyzer: A Framework based on a Novel Feature Selection Method

Ayoub Bagheri, Mohamad Saraee

In the recent decade, with the enormous growth of digital content in internet and databases, sentiment analysis has received more and more attention between information retrieval a…